Abstract
This paper studies the problem of routing in a multilayer (communication and social) network. Network protocols, such as link state routing and its variants, heavily used in mobile ad hoc networks (MANETs) cannot sustain robustness and efficiency as the topological information becomes easily stale with fast network dynamics. Attempts to collect and exchange excessive network information would result in significant overhead and would degrade the overall network performance. This paper presents the SCATE (Social-Cognitive Advancement at Tactical Edge) routing protocol that applies social-cognitive techniques to improve robustness and efficiency of a multilayer network with MANET communication and social links. In a distributed and decentralized setting with local information, nodes learn and update their distances to destinations using social-cognitive metrics and make routing decisions to minimize the end-to-end delay. The SCATE protocol is compared with Optimized Link State Routing (OLSR) with and without social links. Stand-alone computer simulations and high fidelity simulation/emulation tests with CORE and EMANE are used to evaluate SCATE under different communication network (traffic and mobility) and social network effects. Results show that the SCATE protocol is a viable solution to MANET routing by substantially reducing the overhead and the end-to-end delay, and increasing the end-to-end delivery ratio for both unicast and multicast traffic.
| Original language | English (US) |
|---|---|
| Title of host publication | MILCOM 2017 - 2017 IEEE Military Communications Conference |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 103-108 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781538605950 |
| DOIs | |
| State | Published - Dec 7 2017 |
| Event | 2017 IEEE Military Communications Conference, MILCOM 2017 - Baltimore, United States Duration: Oct 23 2017 → Oct 25 2017 |
Publication series
| Name | Proceedings - IEEE Military Communications Conference MILCOM |
|---|---|
| Volume | 2017-October |
Other
| Other | 2017 IEEE Military Communications Conference, MILCOM 2017 |
|---|---|
| Country | United States |
| City | Baltimore |
| Period | 10/23/17 → 10/25/17 |
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All Science Journal Classification (ASJC) codes
- Electrical and Electronic Engineering
Cite this
}
Multilayer MANET routing with social-cognitive learning. / Sagduyu, Yalin E.; Shi, Yi; Erpek, Tugba; Soltani, Sohraab; MacKey, Sharon J.; Cansever, Derya H.; Patel, Mitesh P.; Panettieri, Bart F.; Szymanski, Boleslaw K.; Cao, Guohong.
MILCOM 2017 - 2017 IEEE Military Communications Conference. Institute of Electrical and Electronics Engineers Inc., 2017. p. 103-108 (Proceedings - IEEE Military Communications Conference MILCOM; Vol. 2017-October).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - Multilayer MANET routing with social-cognitive learning
AU - Sagduyu, Yalin E.
AU - Shi, Yi
AU - Erpek, Tugba
AU - Soltani, Sohraab
AU - MacKey, Sharon J.
AU - Cansever, Derya H.
AU - Patel, Mitesh P.
AU - Panettieri, Bart F.
AU - Szymanski, Boleslaw K.
AU - Cao, Guohong
PY - 2017/12/7
Y1 - 2017/12/7
N2 - This paper studies the problem of routing in a multilayer (communication and social) network. Network protocols, such as link state routing and its variants, heavily used in mobile ad hoc networks (MANETs) cannot sustain robustness and efficiency as the topological information becomes easily stale with fast network dynamics. Attempts to collect and exchange excessive network information would result in significant overhead and would degrade the overall network performance. This paper presents the SCATE (Social-Cognitive Advancement at Tactical Edge) routing protocol that applies social-cognitive techniques to improve robustness and efficiency of a multilayer network with MANET communication and social links. In a distributed and decentralized setting with local information, nodes learn and update their distances to destinations using social-cognitive metrics and make routing decisions to minimize the end-to-end delay. The SCATE protocol is compared with Optimized Link State Routing (OLSR) with and without social links. Stand-alone computer simulations and high fidelity simulation/emulation tests with CORE and EMANE are used to evaluate SCATE under different communication network (traffic and mobility) and social network effects. Results show that the SCATE protocol is a viable solution to MANET routing by substantially reducing the overhead and the end-to-end delay, and increasing the end-to-end delivery ratio for both unicast and multicast traffic.
AB - This paper studies the problem of routing in a multilayer (communication and social) network. Network protocols, such as link state routing and its variants, heavily used in mobile ad hoc networks (MANETs) cannot sustain robustness and efficiency as the topological information becomes easily stale with fast network dynamics. Attempts to collect and exchange excessive network information would result in significant overhead and would degrade the overall network performance. This paper presents the SCATE (Social-Cognitive Advancement at Tactical Edge) routing protocol that applies social-cognitive techniques to improve robustness and efficiency of a multilayer network with MANET communication and social links. In a distributed and decentralized setting with local information, nodes learn and update their distances to destinations using social-cognitive metrics and make routing decisions to minimize the end-to-end delay. The SCATE protocol is compared with Optimized Link State Routing (OLSR) with and without social links. Stand-alone computer simulations and high fidelity simulation/emulation tests with CORE and EMANE are used to evaluate SCATE under different communication network (traffic and mobility) and social network effects. Results show that the SCATE protocol is a viable solution to MANET routing by substantially reducing the overhead and the end-to-end delay, and increasing the end-to-end delivery ratio for both unicast and multicast traffic.
UR - http://www.scopus.com/inward/record.url?scp=85042364242&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85042364242&partnerID=8YFLogxK
U2 - 10.1109/MILCOM.2017.8170811
DO - 10.1109/MILCOM.2017.8170811
M3 - Conference contribution
AN - SCOPUS:85042364242
T3 - Proceedings - IEEE Military Communications Conference MILCOM
SP - 103
EP - 108
BT - MILCOM 2017 - 2017 IEEE Military Communications Conference
PB - Institute of Electrical and Electronics Engineers Inc.
ER -